Web Log Data Analysis Using a Data Warehouse and OLAP

Authors

  • Mohammed Hamed Ahmed Elhebir
  • Murtada Khalafallah Elbashir Elfak
  • Ajith Abraham

Keywords:

Web Usage Mining, Web Log Data, Data Warehouse, Pattern Analysis, OLAP, Dimension and Measures

Abstract

Many Internet businesses usually collect hundreds of megabytes of click-streams data every day that need to be analyzed. Performing systematic analysis on such a huge amount of data is time-consuming. Online Analytical Processing (OLAP) can be used for this purpose. The primary requirement in the construction of multi-dimensional data cube is the identification of dimensions and measures. In this paper, the web usage mining is analyzed by applying the Pattern Analysis techniques on web log data. First, the dimensions and measures in web usage data warehouse are nominated and then a technique on how to apply (OLAP) on web usage data warehouse is proposed.

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Published

2014-10-01

How to Cite

Mohammed Hamed Ahmed Elhebir, Murtada Khalafallah Elbashir Elfak, & Ajith Abraham. (2014). Web Log Data Analysis Using a Data Warehouse and OLAP. Journal of Network and Innovative Computing, 2, 7. Retrieved from https://cspub-jnic.org/index.php/jnic/article/view/84

Issue

Vol. 2 (2014)

Section

Original Article

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